
'''simple docstring'''






def 		A_							(						_lowerCAmelCase :     Union[str, Any]				):



      """simple docstring"""




      _lowerCamelCase					: List[str]		    = [0] * len(UpperCamelCase__				)
      _lowerCamelCase					: List[Any]		    = []
      _lowerCamelCase					: List[Any]		    = []
      _lowerCamelCase					: Any		    = 0

      for values in graph.values():
            for i in values:
                  indegree[i] += 1

      for i in range(len(UpperCamelCase__				)				):
            if indegree[i] == 0:
                  queue.append(UpperCamelCase__				)

      while queue:
            _lowerCamelCase					: List[str]		    = queue.pop(0				)
            cnt += 1
            topo.append(UpperCamelCase__				)
            for x in graph[vertex]:
                  indegree[x] -= 1
                  if indegree[x] == 0:
                        queue.append(UpperCamelCase__				)

      if cnt != len(UpperCamelCase__				):
            print("Cycle exists"				)
      else:
            print(UpperCamelCase__				)


# Adjacency List of Graph
UpperCAmelCase_							: Dict =							{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}



topological_sort(graph)
'''simple docstring'''




def __lowerCAmelCase					(				UpperCamelCase__							)      ->       float:
    __lowerCamelCase            =    0
    while len(UpperCamelCase__							) > 1:
        __lowerCamelCase            =    0
        # Consider two files with minimum cost to be merged
        for _ in range(2							):
            __lowerCamelCase            =    files.index(min(UpperCamelCase__							)							)
            temp += files[min_index]
            files.pop(UpperCamelCase__							)
        files.append(UpperCamelCase__							)
        optimal_merge_cost += temp
    return optimal_merge_cost


if __name__ == "__main__":
  import doctest

  doctest.testmod()
